Kenichi Kurihara

21 papers A* 2A 4Misc 1Journal 8Unranked 6
YearRankTypeTitle / Venue / Authors
2014 J jnl
Quantum Annealing for Clustering.
CoRR
Kenichi Kurihara, Shu Tanaka, Seiji Miyashita
2014 J jnl
Quantum Annealing for Variational Bayes Inference.
CoRR
Issei Sato, Kenichi Kurihara, Shu Tanaka, Hiroshi Nakagawa, Seiji Miyashita
2013 J jnl
Quantum annealing for Dirichlet process mixture models with applications to network clustering.
Neurocomputing
Issei Sato, Shu Tanaka, Kenichi Kurihara, Seiji Miyashita, Hiroshi Nakagawa
2012 Misc conf
Exchangeable inconsistent priors for Bayesian posterior inference.
ITA
Max Welling, Ian Porteous, Kenichi Kurihara
2012 A* conf
Practical collapsed variational bayes inference for hierarchical dirichlet process.
KDD
Issei Sato, Kenichi Kurihara, Hiroshi Nakagawa
2010 — conf
Deterministic Single-Pass Algorithm for LDA.
NIPS
Issei Sato, Kenichi Kurihara, Hiroshi Nakagawa
2009 J jnl
Bayesian
Neural Comput.
Kenichi Kurihara, Max Welling
2009 J jnl
Quantum Annealing for Clustering
CoRR
Kenichi Kurihara, Shu Tanaka, Seiji Miyashita
2009 A conf
Quantum Annealing for Clustering.
UAI
Kenichi Kurihara, Shu Tanaka, Seiji Miyashita
2009 J jnl
Quantum Annealing for Variational Bayes Inference
CoRR
Issei Sato, Kenichi Kurihara, Shu Tanaka, Hiroshi Nakagawa, Seiji Miyashita
2009 A conf
Quantum Annealing for Variational Bayes Inference.
UAI
Issei Sato, Kenichi Kurihara, Shu Tanaka, Hiroshi Nakagawa, Seiji Miyashita
2008 A conf
Graph Mining with Variational Dirichlet Process Mixture Models.
SDM
Koji Tsuda, Kenichi Kurihara
2008 — conf
Identification of MCMC Samples for Clustering.
LKR
Kenichi Kurihara, Tsuyoshi Murata, Taisuke Sato
2008 J jnl
Variational Bayes via propositionalized probability computation in PRISM.
Ann. Math. Artif. Intell.
Taisuke Sato, Yoshitaka Kameya, Kenichi Kurihara
2007 A* conf
Collapsed Variational Dirichlet Process Mixture Models.
IJCAI
Kenichi Kurihara, Max Welling, Yee Whye Teh
2007 — conf
Collapsed Variational Inference for HDP.
NIPS
Yee Whye Teh, Kenichi Kurihara, Max Welling
2007 J jnl
Discovering Concepts from Word Co-occurrences with a Relational Model.
Inf. Media Technol.
Kenichi Kurihara, Yoshitaka Kameya, Taisuke Sato
2007 — conf
Variational Bayes via Propositionalization.
Probabilistic, Logical and Relational Learning - A Further Synthesis
Taisuke Sato, Yoshitaka Kameya, Kenichi Kurihara
2006 — conf
Accelerated Variational Dirichlet Process Mixtures.
NIPS
Kenichi Kurihara, Max Welling, Nikos Vlassis
2006 A conf
Bayesian K-Means as a "Maximization-Expectation" Algorithm.
SDM
Max Welling, Kenichi Kurihara
2006 — conf
Variational Bayesian Grammar Induction for Natural Language.
ICGI
Kenichi Kurihara, Taisuke Sato